{"id":"W2913292651","doi":"10.48550/arxiv.1902.05500","title":"Dynamic Interconnection and Damping Injection for Input-to-State Stable Bilateral Teleoperation","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Teleoperation; Interconnection; Control theory (sociology); Robot; Controller (irrigation); Computer science; Position (finance); Telerobotics; Stability (learning theory); Master/slave; Exponential stability; Bandwidth (computing); Haptic technology; Set (abstract data type); Control engineering; Engineering; Simulation; Control (management); Mobile robot; Artificial intelligence; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001518208,0.0002305109,0.0002528232,0.0003256384,0.00009658125,0.0001509586,0.0001162406,0.0001886167,0.00001734744],"category_scores_gemma":[0.00001666065,0.0002776103,0.00006628075,0.0001708103,0.00001428513,0.0002757147,0.0001070845,0.0002242141,0.0000433497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342361,"about_ca_system_score_gemma":0.00003481144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001455594,"about_ca_topic_score_gemma":0.000464678,"domain_scores_codex":[0.9990457,0.00003475033,0.0002047296,0.0004690982,0.00003764911,0.0002081234],"domain_scores_gemma":[0.999455,0.00003616432,0.0000547952,0.0002677737,0.000103024,0.00008325563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003425243,0.00000859078,0.00108161,0.0002666418,0.00006336099,0.000002292757,0.0006099388,0.9950067,0.001483269,0.0005815548,0.00009271886,0.0007690851],"study_design_scores_gemma":[0.0004244082,0.00009620965,0.001294659,0.0001381063,0.00003483568,0.00000598614,0.0002092981,0.9961516,0.0002681604,0.0003794109,0.0006660268,0.0003313104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6218736,0.00002107139,0.3758815,0.00001233523,0.00111894,0.0005870681,0.00002528433,0.0002146364,0.0002655863],"genre_scores_gemma":[0.9976342,0.0000573892,0.0003004483,0.00003412134,0.00005867763,0.000007550636,0.00007523996,0.0000412598,0.001791093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757606,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03388550039620463,"score_gpt":0.1797637738364852,"score_spread":0.1458782734402805,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}